Introducing Sequa
Sequa is a knowledge and context platform designed for modern software organizations. It addresses a fundamental challenge in engineering: the fragmentation of knowledge. As systems and teams scale, critical information becomes scattered across dozens of disconnected tools, leading to stale documentation, lost context, and wasted time.
Before Sequa: The Search for Context
In a typical engineering environment, answering even a simple question—“How does our user authentication flow handle password resets?”—requires a manual, multi-system search. A developer must piece together clues from code, outdated wiki pages, and old conversations. The result is an incomplete picture built on unreliable information.
After Sequa: A Single Source of Truth
Sequa connects to your company’s scattered data—code repositories, documentation, and project management tools—to build a single, unified, and always up-to-date model of your systems.
Instead of hunting for context, developers can simply ask. Sequa acts as a central expert, providing precise, source-referenced answers.
Key Capabilities
- Live, Centralized Knowledge: Sequa integrates with sources like GitHub, GitLab, and Confluence to create a single source of truth. This model is automatically kept in sync with your codebase, ensuring the information you access is never out of date.
- Context-Aware Chat: Ask complex questions about your architecture, implementation details, or team decisions. Sequa provides precise, source-referenced answers, acting as an expert on your entire engineering landscape.
- Self-Maintaining Documentation: With Live Docs, you can create documentation that updates automatically. Embed “Auto sections” that pull information directly from your code, like service dependencies or API contracts, eliminating manual updates.
- AI Agent Empowerment: Use the Sequa Model Context Protocol (MCP) to stream high-fidelity context into your own AI tools and agents, making them dramatically more accurate and effective.
Engineered for Millions of Lines of Code
Sequa is designed to handle industrial-scale software. Our indexing process goes far beyond simple retrieval-augmented generation (RAG). It builds a comprehensive, connected graph of your entire software ecosystem.
It doesn’t just read your code; it understands it.
- Code Structure & Dependencies: It maps out services, classes, functions, and the intricate relationships between them across your entire monorepo or collection of microservices.
- Evolution & History: It integrates your full Git history to understand why code has changed over time, linking implementation details to the original intent.
- Connected Knowledge: It links code to its documentation (even if it’s out of date), the tasks that prompted it (e.g., Jira, Linear), and the developer discussions around it (e.g., Slack).
This “universal context model” is what allows Sequa to provide meaningful answers on codebases so large and complex that no single human developer could possibly understand them fully.
Solving Real Problems at Scale
This deep, structural understanding allows Sequa to answer the hard questions that other tools can’t.
| Problem We Solve | How Sequa Helps |
|---|---|
| ”Where is this deprecated function still being used across our 50 microservices?” | Sequa provides cross-repository usage examples and impact analysis, instantly. |
| ”This feature was built 5 years ago. Why was this specific architectural choice made?” | Sequa connects Git history to task requirements, giving you the “why” behind the “what." |
| "How do I set up the ‘billing’ service locally? The README seems out of date.” | Sequa finds and synthesizes all relevant setup information from code, docs, and team knowledge into a clear, up-to-date set of instructions. |
Sequa gives developers and AI agents the complete map to your codebase, not just random street views. It provides the full context necessary to build, maintain, and innovate with confidence.
Next: Learn more about the philosophy behind the platform in Your First Session.